Diversity of Convergence and Spatial Dependence Between European Metros and Non-Metros. An Application of the Two-Regime Spatial Autoregressive Panel Model

• Autorzy: Edyta Łaszkiewicz , Emilia Modranka
• Języki publikacji: EN

Abstrakty

EN

The aim of the paper is to analyse the difference in the speed of convergence and instability of spatial dependence between the metro and non-metro subregions. The two-regime spatial autoregressive panel data model estimated in the Bayesian approach using a Markov Chain Monte Carlo technique was applied for both purposes. The model was evaluated in the small Monte Carlo simulation. The main analysis was performed at the NUTS3 level, which allowed delimitating the metropolitan areas according to the Larger Urban Zone definition. A balanced panel consisted of data for 31 European countries for the years 2000-2010. A significant catching up process was found for both metros and non-metros. However, our evidence confirms the lower speed of convergence for metros than for non-metros. The significant parameter for spatial interactions was found only for the non-metros. The results indicate the crucial role of national factors for identifying inequalities in the convergence and spatial dependence.(original abstract)

Słowa kluczowe

EN

Convergence; Metropolitan area; Spatial analysis

PL

Konwergencja; Obszar metropolitalny; Analiza przestrzenna

• Czasopismo: Argumenta Oeconomica
• Rocznik: 2017
• Numer: nr 2 (39)
• Strony: 237--261

Twórcy

autor

Edyta Łaszkiewicz

• University of Lodz, Poland

autor

Emilia Modranka

• University of Lodz, Poland

Bibliografia

• Akhmedjonov, A., Lau, M. C. K., İzgi, B.B., New Evidence of Regional Income Divergence in Post-reform Russia, "Applied Economics", 45(18), pp. 2675-2682, 2013.
• Anselin, L., Spatial Econometrics: Methods and Models. Studies in Operational Regional Science. Kluwer Academic Publishers, Netherlands, 1988.
• Arbia, G., Basile, R., Piras, G., Using Spatial Panel Data in Modelling Regional Growth and Convergence, Istituto di Studie Analisi Economica, Working paper, Vol 5, pp. 8-31, 2005.
• Badinger, H., Müller, W. G., Tondl, G., Regional Governance in the European Union (1985--1999): A Spatial Dynamic Panel Analysis, HWWA Discussion Paper, Vol. 210, pp. 1-252, 2002.
• Barro, R., Sala-i-Martin, X., Convergence across States and Regions, "Brookings Papers on Economic Activity", pp. 107-182, 1992.
• Barro R., Sala-I-Martin, X., Economic Growth. McGraw Hill, New York, 1995.
• Baumont, C., Ertur, C., Le Gallo, J., The European Regional Convergence Process, 1980-1995: Do Spatial Regimes and Spatial Dependence Matter?, "International Regional Science Review", 29.1, pp. 3-34, 2006.
• Bolstad, W. M., Understanding Computational Bayesian Statistics (Vol. 644). John Wiley & Sons, 2011.
• Bouayad-Agha, S., Védrin, L., Estimation Strategies for a Spatial Dynamic Panel Using GMM. A New Approach to the Convergence Issue of European Regions, "Spatial Economic Analysis", 5(2), pp. 205-227, 2010.
• Caselli, F., Esquivel, G., Lefort, F., Reopening the Convergence Debate: A New Look at Cross-country Growth Empirics, "Journal of Economic Growth", 1, pp. 363-389, 1996.
• Chapman, S. A., Cosci, S., Mirra, L., Income Dynamics in an Enlarged Europe: The Role of Capital Regions, "The Annals of Regional Science", 48(3), 2012.
• Dańska-Borsiak, B., Konwergencja czy dywergencja polskich województw? [Convergence or divergence of Polish voivodeship?], "Acta Universitatis Lodziensis. Folia Oeconomica", 253, pp. 41-54, 2011.
• Dijkstra, L., Metropolitan Regions in EU, "Regional Focus", European Commission, Regional Policy, 2009.
• Dong, G., Harris, R, J., Spatial Autoregressive Models for Geographically Hierarchical Data Structures, "Geographical Analysis", 2014.
• Elhorst, J. P., Fréret, S., Evidence of Political Yardstick Competition in France using a Two-regime Spatial Durbin Model with Fixed Effects, "Journal of Regional Science", 49(5), pp. 931-951, 2009.
• Eurostat, Eurostat regional yearbook 2013, available at: http://epp.eurostat.ec.europa.eu/ cache/ITY_OFFPUB/KS-HA-13-001/EN/KS-HA-13-001-EN.PDF, 2013.
• Fischer, M. M., Stirböc, C., Pan-European Regional Income Growth and Club-convergence, "The Annals of Regional Science", 40(4), pp. 693-721, 2006.
• Frenken, K., Hoekman, J., Convergence in an Enlarged Europe: The Role of Network Cities, "Tijdschrift voor economische en sociale geografie", 97(3), pp. 321-326, 2006.
• Geodecki, T., Procesy konwergencji i polaryzacji w regionach Unii Europejskiej [The proocesses of convergence and polarization in EU regions], Zeszyty Naukowe Akademii Ekonomicznej w Krakowie, nr 714, Kraków, 2006.
• Hammond, G. W., A Time Series Analysis of US Metropolitan and Non-metropolitan Income Divergence, "The Annals of Regional Science", 40(1), pp. 81-94, 2006.
• Hays, J. C., Kachi, A., Franzese, Jr. R. J., A Spatial Model Incorporating Dynamic, Endogenous Network Interdependence: A Political Science Application, "Statistical Methodology", 7(3), pp. 406-428, 2010.
• Hoogland, J., Boomsma, A., Robustness Studies in Covariance Structure Modeling: An 14 Overview and a Meta-analysis, "Sociological Methods and Research", 26(3), 1998.
• Jabłoński, Ł., Kapitał ludzki a konwergencja gospodarcza [Human capital and convergence process]. Wydawnictwo CH Beck, 2012.
• LeSage, J., Pace, R. K., Introduction to Spatial Econometrics. CRC press, 2010.
• Mur, J., López, F., Angulo, A., Instability in Spatial Error Models: An Application to the Hypothesis of Convergence in the European Case, "Journal of Geographical Systems", 12(3), pp. 259- -280, 2010.
• Nielsen, R., Statistical Methods in Molecular Evolution. Springer Science & Business Media, 2006.
• Paas, T., Kuusk, A., Schlitte, F., Econometrics Analysis of Income Convergence in Selected EU Countries and Their NUTS 3 Level Regions. University of Tartu, Faculty of Economics and Business Administration, Andres Võrk Tartu University Press, Tartu, 2007.
• Pietrzak, M. B., Wykorzystanie przestrzennego modelu regresji przełącznikowej w analizie regionalnej konwergencji w Polsce [An application of spatially switching regression model in an analysis of regional convergence in Poland], "Ekonomia i Prawo", 11(4), pp. 167- -186, 2012.
• Plummer, M., Best, N., Cowles, K., Vines, K., CODA: Convergence Diagnosis and Output Analysis for MCMC, "R news", 6(1), pp. 7-11, 2006.
• Pukeliene, V., Butkus, M., Evaluation of Regional β Convergence in EU Countries at NUTS3 Level, "Ekonomika/Economics", 91(2), 2012.
• Viegas, M., Antunes, M., Convergence in the Spanish and Portuguese NUTS 3 Regions: An Exploratory Spatial Approach, "Intereconomics", 48(1), pp. 59-66, 2013.
• Williamson, J. G., Regional Inequality and the Process of National Development: A Description of the Patterns, "Economic Development and Cultural Change", 13 (2), 1965.
• Yu, J., Lee, L. F., Convergence

Identyfikatory

DOI

10.15611/aoe.2017.2.10